PhD Studentship - Real-time Action Recognition for Human-Robot - TopicsExpress



          

PhD Studentship - Real-time Action Recognition for Human-Robot Interaction Oxford Brookes University - Faculty of Technology, Design and Environment Eligibility: Home/EU and International Candidates Start: January 2015 The Department of Computing and Communication Technologies at Oxford Brookes University is pleased to offer a three year full-time PhD Scholarship to a new student commencing in January 2015. The successful applicant will receive an annual bursary of £10,000 for three years (with no inflation increase) and the fees will be paid by the University. The successful candidate will work within the Department of Computing and Communication Technologies – as part of both the Artificial Intelligence and Vision group and the Cognitive Robotics group, under the supervision of Dr Fabio Cuzzolin and Dr Nigel Crook. Traditional action recognition benchmarks are based on a ‘batch’ philosophy: it is assumed that a single action is present within each video, and videos are processed as a whole, typically via algorithms which require entire days to be completed. While this can be suitable for tasks such as video browsing and retrieval over the internet (although speed is critical there), it is completely unacceptable for a number of real world applications which require a prompt, real-time interpretation of what action is taking place. Consequently, a new paradigm of ‘online’, ‘real-time’ action recognition is rapidly emerging, and is likely to shape the field in coming years. The AI and Vision group is already building on its multi-year experience in batch action recognition to expand towards online recognition, based on two distinct approaches: one based on the application of novel ‘deep learning’ neural networks to automatically segmented video regions, the other resting on continually updating an approximation of the space of ‘feature’ measurements extracted from images, via a set of balls of radius which depends on how difficult classification is within that region of the space. An extended description of the topic of this research can be found on cms.brookes.ac.uk/staff/FabioCuzzolin/announcements.html For further information about the Artificial Intelligence and Vision group, consult cct.brookes.ac.uk/research/isec/artificial-intelligence/ and Dr Fabio Cuzzolin’s web page: cms.brookes.ac.uk/staff/FabioCuzzolin/ For information on the Cognitive Robotics group, consult cct.brookes.ac.uk/research/isec/cognitive-robotics/index.html If you would like to apply you should request an application pack from Ms Zane Kalnina, [email protected], quoting ‘Real-time Action Recognition’ in the subject line. Fully completed applications must be sent to [email protected] - by the deadline on Friday 31st October 2014. As part of the application you must submit a maximum 3 page outline research proposal (instructions on how to prepare a research proposal can be found on the Brookes website: cct.brookes.ac.uk/research/proposals.html), together with a supporting statement of no more than 300 words summarising: Your reasons for undertaking this project; Preparation undertaken and previous research experience; How this bursary will make a difference to your research.
Posted on: Wed, 29 Oct 2014 18:36:57 +0000

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